https://github.com/bonstats/tidytreatment
Tidy methods for Bayesian treatment effect models
Science Score: 23.0%
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○CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 3 committers (33.3%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (10.5%) to scientific vocabulary
Keywords
Repository
Tidy methods for Bayesian treatment effect models
Basic Info
- Host: GitHub
- Owner: bonStats
- License: other
- Language: R
- Default Branch: master
- Size: 30.3 MB
Statistics
- Stars: 16
- Watchers: 1
- Forks: 2
- Open Issues: 7
- Releases: 4
Topics
Metadata Files
README.md
Tidy methods for Bayesian treatment effect models
tidytreatment is an R package that provides functions for extracting tidy data from Bayesian treatment effect models, estimating treatment effects, and plotting useful summaries of these. This package closely follows the output style from the tidybayes R package in order to use some functions provided by tidybayes.
The package currently supports the following models:
in addition to models supported by tidybayes.
See this HTML vignette or vignette("use-tidytreatment-BART") for examples of usage.
How to install
CRAN
Install the release version from CRAN with install.packages("tidytreament").
Github
To install the latest development version:
- Make sure at least one of the above model fitting packages is installed.
- In
Rmake sureremotesis installed. Install withinstall.packages("remotes"). - Run
remotes::install_github("bonStats/tidytreatment")
Owner
- Name: Joshua Bon
- Login: bonStats
- Kind: user
- Location: Meanjin / Brisbane
- Company: Queensland University of Technology
- Website: https://bonstats.github.io/
- Repositories: 3
- Profile: https://github.com/bonStats
Research statistician. Computation and a lot of dabbling. Centre for Data Science, Queensland University of Technology
GitHub Events
Total
- Create event: 1
- Issues event: 1
- Release event: 1
- Watch event: 2
- Push event: 5
Last Year
- Create event: 1
- Issues event: 1
- Release event: 1
- Watch event: 2
- Push event: 5
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Joshua Bon | j****n@g****m | 113 |
| Joshua Bon | b****j@q****u | 3 |
| Matthew Kay | m****y@g****m | 3 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 12
- Total pull requests: 2
- Average time to close issues: 5 months
- Average time to close pull requests: 2 days
- Total issue authors: 3
- Total pull request authors: 2
- Average comments per issue: 1.25
- Average comments per pull request: 4.5
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- bonStats (9)
- schelhorn (2)
- zmeers (1)
Pull Request Authors
- mjskay (1)
- bonStats (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- cran 299 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 4
- Total maintainers: 1
cran.r-project.org: tidytreatment
Tidy Methods for Bayesian Treatment Effect Models
- Homepage: https://github.com/bonStats/tidytreatment
- Documentation: http://cran.r-project.org/web/packages/tidytreatment/tidytreatment.pdf
- License: MIT + file LICENSE
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Latest release: 0.3.1
published about 1 year ago
Rankings
Maintainers (1)
Dependencies
- R >= 3.1.0 depends
- bartMachine * enhances
- dplyr * imports
- purrr * imports
- readr * imports
- rlang * imports
- tidybayes * imports
- tidyr * imports
- BART * suggests
- ggplot2 * suggests
- knitr * suggests
- rmarkdown * suggests
- testthat >= 3.0.0 suggests
- withr * suggests
- actions/checkout v3 composite
- r-lib/actions/check-r-package v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite